We provide more examples of ZSD in Fig. REF . One can find that the prediction score threshold is lower (0.3 used in the examples) than the value (greater than 0.5) used in traditional object detection like faster-RCNN [1]}. It indicates that the prediction of ZSD has less confidence than that of traditionally seen detection. As zero-shot method does not observe any training instances of unseen classes during the whole learning process, the confidence of prediction cannot be as strong as the seen counterpart. Moreover, a ZSD method needs to correspond visual features with semantic word vectors which are noisy in general. It degrades the overall confidence for ZSD.
